| Title |
The epidemiology of current depression in Macau, China: towards a plan for mental health action
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, June 2017
|
| DOI | 10.1007/s00127-017-1415-8 |
| Pubmed ID | |
| Authors |
Brian J. Hall, Agnes Iok Fong Lam, Tat Leong Wu, Wai-Kai Hou, Carl Latkin, Sandro Galea |
| Abstract |
Macau is a Special Administrative Region in China that has experienced tremendous development in its gambling industry during its post-colonial years. To inform mental health planning, this study presents the first population estimates and correlates of the current depression in Macau. A population-representative sample of 1068 Macau Chinese citizens aged 18 or above responded to a household telephone survey in January, 2015. The Patient Health Questionnaire-9 measured the current depression. Logistic regression models assessed the association between depression and potential correlates. Overall, 8.0% (95% CI 6.3-9.7) of persons reported the current depression. A higher but non-significant proportion of women reported depression than men (9.3 vs. 6.6%) and older women reported higher prevalence (13.4%) than other demographic groups. Persons who were unemployed (OR = 4.9, 2.3-10.5), separated or divorced (OR = 3.1, 1.1-8.9), and reported poor self-rated health (OR = 5.0, 2.8-9.0), low quality of life (OR = 6.2, 3.1-12.7), lower social standing (OR = 2.4, 1.4-4.0), lower community trust (OR = 1.9, 1.2-3.1), lower perceived fairness (OR = 2.3, 1.4-3.8), lower social cohesion (OR = 3.8, 2.3-6.2), and lower social integration (OR = 3.0, 1.9-5.0) had greater odds of depression than their comparison group. The current study demonstrated the burden of depression among Macau adults disproportionately affects women during emerging adolescence and old age, and men during middle adulthood. Key strategies to improve mental health services in Macau are discussed. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 17% |
| Student > Doctoral Student | 15 | 15% |
| Student > Ph. D. Student | 10 | 10% |
| Student > Bachelor | 8 | 8% |
| Researcher | 7 | 7% |
| Other | 16 | 16% |
| Unknown | 30 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 21 | 20% |
| Social Sciences | 20 | 19% |
| Nursing and Health Professions | 8 | 8% |
| Medicine and Dentistry | 6 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 13 | 13% |
| Unknown | 32 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 June 2017.
All research outputs
#16,031,680
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#2,023
of 2,534 outputs
Outputs of similar age
#200,518
of 316,548 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#25
of 31 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,548 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.